Package: GFM
Type: Package
Title: Generalized Factor Model
Version: 1.2.2
Date: 2026-01-17
License: GPL-3
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "LiuWeideng@gmail.com"),
      person(given = "Huazhen",
             family = "Lin",
             role = "aut"),
      person(given = "Shurong",
             family = "Zheng",
             role = "aut"),
      person(given = "Jin",
             family = "Liu",
             role = "aut"),
      person(given = "Jinyu",
             family = "Nie",
             role = "aut"))
Author: Wei Liu [aut, cre], Huazhen Lin [aut], Shurong Zheng [aut], Jin
        Liu [aut], Jinyu Nie [aut]
Maintainer: Wei Liu <LiuWeideng@gmail.com>
Description: Generalized factor model is implemented for ultra-high
        dimensional data with mixed-type variables. Two algorithms,
        variational EM and alternate maximization, are designed to
        implement the generalized factor model, respectively. The
        factor matrix and loading matrix together with the number of
        factors can be well estimated. This model can be employed in
        social and behavioral sciences, economy and finance, and
        genomics, to extract interpretable nonlinear factors. More
        details can be referred to Wei Liu, Huazhen Lin, Shurong Zheng
        and Jin Liu. (2023) <doi:10.1080/01621459.2021.1999818>.
URL: https://github.com/feiyoung/GFM
BugReports: https://github.com/feiyoung/GFM/issues
Depends: doSNOW, parallel, R (>= 3.5.0)
Imports: MASS, stats,irlba, Rcpp, methods
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
Repository: https://feiyoung.r-universe.dev
Date/Publication: 2026-01-17 14:20:34 UTC
RemoteUrl: https://github.com/feiyoung/gfm
RemoteRef: HEAD
RemoteSha: 63d05da03792e74cfd6fb250021cdcc0f27bac85
NeedsCompilation: yes
Packaged: 2026-06-24 03:53:54 UTC; root